Chin Yang Shapland

1.8k total citations
13 papers, 96 citations indexed

About

Chin Yang Shapland is a scholar working on Genetics, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Chin Yang Shapland has authored 13 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 3 papers in Cognitive Neuroscience and 2 papers in Epidemiology. Recurrent topics in Chin Yang Shapland's work include Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Chin Yang Shapland is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Chin Yang Shapland collaborates with scholars based in United Kingdom, Netherlands and United States. Chin Yang Shapland's co-authors include Jack Bowden, Ellen Verhoef, Beaté St Pourcain, Nuala A. Sheehan, John R. Thompson, Fabiola Del Greco M, Simon E. Fisher, Cosetta Minelli, Dipender Gill and Elinor M Jones and has published in prestigious journals such as Nature Communications, The American Journal of Human Genetics and Journal of Child Psychology and Psychiatry.

In The Last Decade

Chin Yang Shapland

12 papers receiving 95 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chin Yang Shapland United Kingdom	5	67	15	15	11	10	13	96
Theodore Morley United States	4	47 0.7×	19 1.3×	7 0.5×	15 1.4×		7	103
Nicolás W. Martín Australia	7	77 1.1×	74 4.9×	11 0.7×	13 1.2×	14 1.4×	10	210
Elinor M Jones United Kingdom	5	41 0.6×	11 0.7×	3 0.2×	7 0.6×	2 0.2×	7	97
Futao Zhang Australia	2	83 1.2×	40 2.7×	14 0.9×	8 0.7×		5	131
Susan Love United States	7	20 0.3×	15 1.0×	14 0.9×	11 1.0×	2 0.2×	11	111
Marta F. Nabais Australia	4	50 0.7×	99 6.6×	10 0.7×	4 0.4×	6 0.6×	4	141
Ellen M. Wijsman United States	2	103 1.5×	38 2.5×	7 0.5×	7 0.6×	15 1.5×	2	138
Emilie M. Wigdor United States	3	44 0.7×	28 1.9×	20 1.3×	6 0.5×		5	127
Mathijs Kattenberg Netherlands	4	65 1.0×	41 2.7×	11 0.7×	3 0.3×	1 0.1×	6	126
L. Monge Galindo Spain	6	51 0.8×	45 3.0×	5 0.3×	9 0.8×	3 0.3×	34	137

Countries citing papers authored by Chin Yang Shapland

Since Specialization

Citations

This map shows the geographic impact of Chin Yang Shapland's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chin Yang Shapland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin Yang Shapland more than expected).

Fields of papers citing papers by Chin Yang Shapland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin Yang Shapland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chin Yang Shapland. The network helps show where Chin Yang Shapland may publish in the future.

Co-authorship network of co-authors of Chin Yang Shapland

This figure shows the co-authorship network connecting the top 25 collaborators of Chin Yang Shapland. A scholar is included among the top collaborators of Chin Yang Shapland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin Yang Shapland. Chin Yang Shapland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Lange, M., Rebecca C. Richmond, Kate Birnie, et al.. (2024). The effects of daylight saving time clock changes on accelerometer‐measured sleep duration in the UK Biobank. Journal of Sleep Research. 34(3). e14335–e14335. 2 indexed citations

Shapland, Chin Yang, Apostolos Gkatzionis, Gibran Hemani, & Kate Tilling. (2024). Use of genetic correlations to examine selection bias. Genetic Epidemiology. 49(1). e22584–e22584.

Major‐Smith, Daniel, Gemma Clayton, Chin Yang Shapland, et al.. (2024). Accounting for bias due to outcome data missing not at random: comparison and illustration of two approaches to probabilistic bias analysis: a simulation study. BMC Medical Research Methodology. 24(1). 278–278. 3 indexed citations

Schlag, Fenja, Marjolein M. J. van Donkelaar, Ellen Verhoef, et al.. (2024). Structural models of genome-wide covariance identify multiple common dimensions in autism. Nature Communications. 15(1). 1770–1770. 4 indexed citations

Leyden, Genevieve M, Chin Yang Shapland, George Davey Smith, et al.. (2022). Harnessing tissue-specific genetic variation to dissect putative causal pathways between body mass index and cardiometabolic phenotypes. The American Journal of Human Genetics. 109(2). 240–252. 14 indexed citations

Shapland, Chin Yang, Qingyuan Zhao, & Jack Bowden. (2022). Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy. Statistics in Medicine. 41(6). 1100–1119. 9 indexed citations

Lawlor, Debbie A., et al.. (2022). Using Mendelian Randomisation to Prioritise Candidate Maternal Metabolic Traits Influencing Offspring Birthweight. Metabolites. 12(6). 537–537. 2 indexed citations

Verhoef, Ellen, Chin Yang Shapland, Simon E. Fisher, Philip S. Dale, & Beaté St Pourcain. (2021). The developmental genetic architecture of vocabulary skills during the first three years of life: Capturing emerging associations with later-life reading and cognition. PLoS Genetics. 17(2). e1009144–e1009144. 4 indexed citations

Verhoef, Ellen, Jakob Grove, Chin Yang Shapland, et al.. (2021). Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy. Nature Communications. 12(1). 6534–6534. 8 indexed citations

10.

Shapland, Chin Yang, Ellen Verhoef, George Davey Smith, et al.. (2021). Multivariate genome-wide covariance analyses of literacy, language and working memory skills reveal distinct etiologies. npj Science of Learning. 6(1). 23–23. 4 indexed citations

11.

Verhoef, Ellen, Chin Yang Shapland, Simon E. Fisher, Philip S. Dale, & Beaté St Pourcain. (2020). The developmental origins of genetic factors influencing language and literacy: Associations with early‐childhood vocabulary. Journal of Child Psychology and Psychiatry. 62(6). 728–738. 13 indexed citations

12.

Shapland, Chin Yang, John R. Thompson, & Nuala A. Sheehan. (2018). A Bayesian approach to Mendelian randomisation with dependent instruments. Statistics in Medicine. 38(6). 985–1001. 3 indexed citations

13.

Thompson, John R., Cosetta Minelli, Jack Bowden, et al.. (2017). Mendelian randomization incorporating uncertainty about pleiotropy. Statistics in Medicine. 36(29). 4627–4645. 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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